An Inverse Problem Based Approach for Differential SAR Tomography Imaging
一种基于逆问题的差分干涉SAR层析成像方法

When reconstructing elevation-velocity image, the observation data obtained from differential SAR tomography in baseline-time plane does not follow uniform distribution. If the elevation-velocity image of multiple scatterers is obtained using two-dimensional FFT method, the imaging result is not very good because of high sidelobes. In this paper, a new differential SAR tomography imaging algorithm is proposed based on Backus- Gilbert technique. In this algorithm, the elevation-velocity imaging is converted into an inverse problem of two- dimensional integral function, and Tikhonov regularization is used to get the regularized solution of the inverse problem. Simulation results show that the proposed algorithm can overcome the influence caused by non-uniform samples, and acquire better imaging result.